This is MadNLP version v0.12.0, running with cuDSS v1.0.0 Number of nonzeros in constraint Jacobian............: 71189 Number of nonzeros in Lagrangian Hessian.............: 9600 Total number of variables............................: 9598 variables with only lower bounds: 0 variables with lower and upper bounds: 0 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 9598 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 9598 inequality constraints with only upper bounds: 0 iter objective inf_pr inf_du inf_compl lg(mu) lg(rg) alpha_pr ir ls 0 1.0000000e+00 2.08e+02 0.00e+00 1.98e-08 -1.0 - 0.00e+00 0 0 1 1.0000000e+00 2.08e+02 1.31e+02 2.98e-06 -1.0 -4.0 1.67e-07 2 1h 2 1.0000000e+00 2.19e+02 2.47e-05 1.31e-06 -1.0 -4.5 1.00e+00 2 1h 3 1.0000000e+00 1.62e-07 1.72e-06 1.03e-06 -1.0 -5.0 1.00e+00 1 1h 4 1.0000000e+00 8.24e-10 7.88e-06 1.40e-07 -8.6 -5.4 1.00e+00 1 1h 5 1.0000000e+00 8.69e-16 5.25e-15 7.95e-09 -8.6 - 1.00e+00 1 1h Number of Iterations....: 5 (scaled) (unscaled) Objective...............: 1.0000000000000000e+00 1.0000000000000000e+00 Dual infeasibility......: 5.2520553436636740e-15 5.2520553436636740e-15 Constraint violation....: 8.6899333569223850e-16 8.6899333569223850e-16 Complementarity.........: 7.9516158145591139e-09 7.9516158145591139e-09 Overall NLP error.......: 7.9516158145591139e-09 7.9516158145591139e-09 Number of objective function evaluations = 6 Number of objective gradient evaluations = 6 Number of constraint evaluations = 6 Number of constraint Jacobian evaluations = 6 Number of Lagrangian Hessian evaluations = 5 Number of KKT factorizations = 9 Number of KKT backsolves = 7 Total wall secs in initialization = 0.037 s Total wall secs in linear solver = 0.006 s Total wall secs in NLP function evaluations = 0.001 s Total wall secs in solver (w/o init./fun./lin. alg.) = 0.012 s Total wall secs = 0.055 s EXIT: Optimal Solution Found (tol = 1.0e-08).